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Benfield M, He J, Arnall J, Kaizen W, Jandrisevits E, Eboli-Lopes K, Dodd B, Grunwald MR, Avalos B, Copelan E, Patel JN. Venous Thromboembolism Incidence and Risk Factors in Patients Undergoing Hematopoietic Stem Cell Transplantation. Transplant Cell Ther 2025; 31:111.e1-111.e10. [PMID: 39505211 DOI: 10.1016/j.jtct.2024.10.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2024] [Revised: 10/14/2024] [Accepted: 10/30/2024] [Indexed: 11/08/2024]
Abstract
Malignancy is a well-known risk factor for venous thromboembolism (VTE), and the Khorana risk score is effective for screening patients with solid tumors. However, there is a lack of validated screening tools and established risk factors for patients undergoing hematopoietic stem cell transplantation (HCT). Current literature reports a 2.5% to 8.5% incidence of VTE in HCT recipients. Anticoagulation is difficult to manage post-transplantation, given prolonged thrombocytopenia and the likelihood of bleeding. By identifying risk factors, a predictive model may be developed to prospectively test prophylaxis strategies in patients at the highest risk of a thromboembolic event (TE). This retrospective single-center study evaluated the cumulative incidence of TE at 6 months following allogeneic or autologous HCT in adult subjects undergoing transplantation between March 2014 and December 2019. The study also aimed to identify risk factors for developing a TE, evaluate the time from HCT to TE, and compare 1-year survival following HCT between patients with a TE and those without a TE. In evaluating the incidence of TE, ICD-9 and ICD-10 codes were used to determine cancer diagnosis, TE events occurring up 180 days after HCT, and comorbidities of interest. Each subject was reviewed for data accuracy by a manual retrospective chart review. Statistical tests including the cumulative incidence method with competing risks, Gray's test, and univariate and multivariate Cox proportional hazards models were used to analyze the time to first TE, evaluate risk factors, and assess 1-year survival post-HCT in relation to TEs occurring within 180 days of HCT. Variables examined included age, sex, body mass index, transplant type, hospital length of stay (LOS), history of TE prior to transplantation, active infections, graft-versus-host disease (GVHD), veno-occlusive disorder, cytomegalovirus serostatus, and other factors. The study included 636 evaluable patients; the majority were male (57.9%) and white (68.7%) and had undergone autologous HCT (68.4%). Twenty-nine patients (4.6%) experienced a TE within 180 days post-transplantation. TEs were more common in the allogeneic HCT recipients (n = 13/201; 6.5%) compared to the autologous HCT recipients (n = 16/435; 3.7%; P = .122). The cumulative incidence of TE was higher in patients who developed an active infection compared to those who did not (7.6% versus 3.1%; P = .011). Hospital LOS (hazard ratio [HR], 1.03; 95% confidence interval [CI], 1.0 to 1.06; P = .036) and active infection (HR, 2.34; 95% CI, 1.1 to 4.95; P = .027) were significantly associated with TE in univariate analysis but were not retained in the final multivariate model. There was no difference in 1-year survival between all patients who experienced a TE and those who did not; however, in the autologous HCT group, 1-year survival rate was significantly lower in patients with a TE compared to those without TE (80.4% versus 95.3%; P = .01) (Figure 3C). None of the examined variables, including a history of TE and GVHD, were associated with TE risk. Although the overall incidence of TE in our study was low, many patients received pharmacologic or mechanical prophylaxis, suggesting that such strategies may be effective in mitigating TE risk. Such factors as infection and hospital LOS may further increase TE risk. Providers should continuously monitor for risk factors and signs and symptoms of TE post-transplantation. It is also imperative to consider chemical prophylaxis if counts are recovered during hospitalization.
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Affiliation(s)
- Miranda Benfield
- Department of Pharmacy, Levine Cancer Institute, Atrium Health, Charlotte, North Carolina.
| | - Jiaxian He
- Center for Clinical Trials and Evidence Synthesis, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Justin Arnall
- Atrium Health Specialty Pharmacy Service, Charlotte, North Carolina
| | - Whitney Kaizen
- Transplant and Cellular Therapy Program, Levine Cancer Institute, Atrium Health, Charlotte, North Carolina
| | - Elizabeth Jandrisevits
- Department of Cancer Pharmacology & Pharmacogenomics, Levine Cancer Institute, Atrium Health, Charlotte, North Carolina
| | - Karine Eboli-Lopes
- Department of Cancer Pharmacology & Pharmacogenomics, Levine Cancer Institute, Atrium Health, Charlotte, North Carolina
| | - Brandy Dodd
- Transplant and Cellular Therapy Program, Levine Cancer Institute, Atrium Health, Charlotte, North Carolina
| | - Michael R Grunwald
- Department of Hematologic Oncology and Blood Disorders, Levine Cancer Institute, Atrium Health, Charlotte, North Carolina
| | - Belinda Avalos
- Department of Hematologic Oncology and Blood Disorders, Levine Cancer Institute, Atrium Health, Charlotte, North Carolina
| | - Edward Copelan
- Department of Hematologic Oncology and Blood Disorders, Levine Cancer Institute, Atrium Health, Charlotte, North Carolina
| | - Jai N Patel
- Department of Cancer Pharmacology & Pharmacogenomics, Levine Cancer Institute, Atrium Health, Charlotte, North Carolina
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Långström S, Koskenvuo M, Huttunen P, Lassila R, Taskinen M, Ranta S, Heikinheimo M, Mäkipernaa A. Graft-Versus-Host Disease Sustains Coagulation Activity for two Years After Pediatric Allogeneic Hematopoietic Stem Cell Transplantation. Clin Appl Thromb Hemost 2025; 31:10760296241304771. [PMID: 39905846 DOI: 10.1177/10760296241304771] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2025] Open
Abstract
AIM To evaluate the longitudinal coagulation profile after allogeneic hematopoietic stem cell transplantation (HSCT) in pediatric patients with hematological malignancies. METHODS Several coagulation variables were measured at predetermined time points for two years after HSCT in 30 pediatric patients. RESULTS At six months post-HSCT, endothelial activation was reflected by 1.4-fold increase in circulating von Willebrand factor activity (p < 0.05), and by 2-fold increase in thrombin-antithrombin complex levels (p < 0.05), suggesting sustained coagulation system activity. In six patients with chronic graft-versus-host disease (cGVHD), specifically in those having gastrointestinal (GI) tract cGVHD, we observed continued longitudinal alterations in the coagulation system. The activities of both, coagulation factors (FV, FVII, FVIII, fibrinogen), and natural anticoagulants (antithrombin and protein C) were higher than prior to conditioning (p < 0.05) at most time points in patients with cGVHD. Moreover, fibrin turnover marker D-dimer was elevated from 6 to 18 months after HSCT (p < 0.05). CONCLUSION Pediatric patients undergoing HSCT demonstrate prolonged derangement of the coagulation system, with a new alleviating balance after 6 months post-HSCT. However, in patients with cGVHD, and in particular when cGVHD affects the GI tract, the persisting derangement of coagulation suggest its contributing role in cGVHD and related complications.
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Affiliation(s)
- Satu Långström
- Division of Hematology-Oncology and Stem Cell Transplantation, Children's Hospital, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Minna Koskenvuo
- Division of Hematology-Oncology and Stem Cell Transplantation, Children's Hospital, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Department of Pediatrics, Turku University Hospital, University of Turku, Turku, Finland
| | - Pasi Huttunen
- Division of Hematology-Oncology and Stem Cell Transplantation, Children's Hospital, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Riitta Lassila
- Unit for Coagulation Disorders, Department of Hematology, Comprehensive Care Center and Cancer Center, Helsinki University Hospital, and Research Program Unit in Systems Oncology, University of Helsinki, Helsinki, Finland
| | - Mervi Taskinen
- Division of Hematology-Oncology and Stem Cell Transplantation, Children's Hospital, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Susanna Ranta
- Astrid Lindgren Children's Hospital, Karolinska University Hospital and Karolinska Institute, Stockholm, Sweden
| | - Markku Heikinheimo
- Division of Hematology-Oncology and Stem Cell Transplantation, Children's Hospital, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Department of Pediatrics, Washington University in St. Louis, St. Louis, USA
- Faculty of Medicine and Health Technology, Center for Child, Adolescent, and Maternal Health Research, Tampere University, Tampere, Finland
| | - Anne Mäkipernaa
- Unit for Coagulation Disorders, Department of Hematology, Comprehensive Care Center and Cancer Center, Helsinki University Hospital, and Research Program Unit in Systems Oncology, University of Helsinki, Helsinki, Finland
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Deng RX, Zhu XL, Zhang AB, He Y, Fu HX, Wang FR, Mo XD, Wang Y, Zhao XY, Zhang YY, Han W, Chen H, Chen Y, Yan CH, Wang JZ, Han TT, Chen YH, Chang YJ, Xu LP, Huang XJ, Zhang XH. Machine learning algorithm as a prognostic tool for venous thromboembolism in allogeneic transplant patients. Transplant Cell Ther 2023; 29:57.e1-57.e10. [PMID: 36272528 DOI: 10.1016/j.jtct.2022.10.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Revised: 10/07/2022] [Accepted: 10/10/2022] [Indexed: 11/15/2022]
Abstract
As a serious complication after allogenic hematopoietic stem cell transplantation (allo-HSCT), venous thromboembolism (VTE) is significantly related to increased nonrelapse mortality. Therefore distinguishing patients at high risk of death who should receive specific therapeutic management is key to improving survival. This study aimed to establish a machine learning-based prognostic model for the identification of post-transplantation VTE patients who have a high risk of death. We retrospectively evaluated 256 consecutive VTE patients who underwent allo-HSCT at our center between 2008 and 2019. These patients were further randomly divided into (1) a derivation (80%) cohort of 205 patients and (2) a test (20%) cohort of 51 patients. The least absolute shrinkage and selection operator (LASSO) approach was used to choose the potential predictors from the primary dataset. Eight machine learning classifiers were used to produce 8 candidate models. A 10-fold cross-validation procedure was used to internally evaluate the models and to select the best-performing model for external assessment using the test cohort. In total, 256 of 7238 patients were diagnosed with VTE after transplantation. Among them, 118 patients (46.1%) had catheter-related venous thrombosis, 107 (41.8%) had isolated deep-vein thrombosis (DVT), 20 (7.8%) had isolated pulmonary embolism (PE), and 11 (4.3%) had concomitant DVT and PE. The 2-year overall survival (OS) rate of patients with VTE was 68.8%. Using LASSO regression, 8 potential features were selected from the 54 candidate variables. The best-performing algorithm based on the 10-fold cross-validation runs was a logistic regression classifier. Therefore a prognostic model named BRIDGE was then established to predict the 2-year OS rate. The areas under the curves of the BRIDGE model were 0.883, 0.871, and 0.858 for the training, validation, and test cohorts, respectively. The Hosmer-Lemeshow goodness-of-fit test showed a high agreement between the predicted and observed outcomes. Decision curve analysis indicated that VTE patients could benefit from the clinical application of the prognostic model. A BRIDGE risk score calculator for predicting the study result is available online (47.94.162.105:8080/bridge/). We established the BRIDGE model to precisely predict the risk for all-cause death in VTE patients after allo-HSCT. Identifying VTE patients who have a high risk of death can help physicians treat these patients in advance, which will improve patient survival.
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Affiliation(s)
- Rui-Xin Deng
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China
| | - Xiao-Lu Zhu
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China
| | - Ao-Bei Zhang
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China
| | - Yun He
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China
| | - Hai-Xia Fu
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China
| | - Feng-Rong Wang
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China
| | - Xiao-Dong Mo
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China
| | - Yu Wang
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China
| | - Xiang-Yu Zhao
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China
| | - Yuan-Yuan Zhang
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China
| | - Wei Han
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China
| | - Huan Chen
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China
| | - Yao Chen
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China
| | - Chen-Hua Yan
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China
| | - Jing-Zhi Wang
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China
| | - Ting-Ting Han
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China
| | - Yu-Hong Chen
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China
| | - Ying-Jun Chang
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China
| | - Lan-Ping Xu
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China
| | - Xiao-Jun Huang
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China
| | - Xiao-Hui Zhang
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China.
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4
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Neuendorff NR, Boshikova B, Frankenstein L, Kirchner M, Rohde C, Goldschmidt H, Frey N, Müller-Tidow C, Jordan K, Sauer S, Janssen M. Aspirin use and bleeding events during thrombocytopenia after autologous stem-cell transplantation for multiple myeloma. Front Oncol 2023; 13:1168120. [PMID: 37182183 PMCID: PMC10174307 DOI: 10.3389/fonc.2023.1168120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 04/06/2023] [Indexed: 05/16/2023] Open
Abstract
Background In patients with cardiovascular (CV) comorbidities that necessitate antiplatelet therapy (APT), its optimal management during chemotherapy-induced thrombocytopenia remains elusive, as the risk of bleeding has to be balanced against the risk of CV events. The purpose of this study was to assess the risk for bleeding with APT during thrombocytopenia in patients with multiple myeloma undergoing high-dose chemotherapy and subsequent autologous stem-cell transplantation (ASCT) with and without acetylsalicylic acid (ASA) as comedication. Methods We assessed patients who underwent ASCT at the Heidelberg University Hospital between 2011 and 2020 for bleeding events, management strategies for ASA intake during thrombocytopenia, transfusion requirements, and the occurrence of CV events. Results There were 57/1,113 patients who continued ASA until at least 1 day after ASCT; thus, a continuous platelet inhibition during thrombocytopenia was assumed. Most of the patients (41/57) continued ASA until they had a platelet count of 20-50/nl. This range reflects the kinetics of thrombocytopenia and nondaily measurements of platelets during ASCT. A tendency toward a higher risk for bleeding events in the ASA group was demonstrated (1.9% (control group) vs. 5.3% (ASA), p = 0.082). The risk factors for bleeding in multivariate analysis were the duration of thrombocytopenia < 50/nl, a history of gastrointestinal bleeding, and diarrhea. The factors predicting the duration of thrombocytopenia were age >60 years, a hematopoietic stem-cell transplantation comorbidity index ≥3, and an impaired bone marrow reserve at admission. CV events occurred in three patients; none of them took ASA or had an indication for APT. Conclusions The intake of ASA until thrombocytopenia with a platelet count of 20-50/nl appears safe, although an elevated risk cannot be excluded. If ASA is indicated for the secondary prevention of CV events, the evaluation of risk factors for bleeding and a prolonged time of thrombocytopenia before conditioning is crucial to adapt the strategy for ASA intake during thrombocytopenia.
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Affiliation(s)
- Nina Rosa Neuendorff
- Department of Medicine V–Hematology, Oncology and Rheumatology, University Hospital Heidelberg, Heidelberg, Germany
- Department of Hematology and Stem-Cell Transplantation, University Hospital Essen, Essen, Germany
| | - Boryana Boshikova
- Department of Medicine V–Hematology, Oncology and Rheumatology, University Hospital Heidelberg, Heidelberg, Germany
- Clinic for Cardiology and General Internal Medicine, Städtisches Klinikum Solingen gemeinnützige GmbH, Solingen, Germany
| | - Lutz Frankenstein
- Department of Medicine III–Cardiology, Angiology and Intensive Care, University Hospital Heidelberg, Heidelberg, Germany
| | - Marietta Kirchner
- Institute of Medical Biometry (IMBI), University Hospital Heidelberg, Heidelberg, Germany
| | - Christian Rohde
- Department of Medicine V–Hematology, Oncology and Rheumatology, University Hospital Heidelberg, Heidelberg, Germany
| | - Hartmut Goldschmidt
- Department of Medicine V–Hematology, Oncology and Rheumatology, University Hospital Heidelberg, Heidelberg, Germany
| | - Norbert Frey
- Department of Medicine III–Cardiology, Angiology and Intensive Care, University Hospital Heidelberg, Heidelberg, Germany
| | - Carsten Müller-Tidow
- Department of Medicine V–Hematology, Oncology and Rheumatology, University Hospital Heidelberg, Heidelberg, Germany
| | - Karin Jordan
- Department of Medicine V–Hematology, Oncology and Rheumatology, University Hospital Heidelberg, Heidelberg, Germany
- Klinikum Ernst von Bergmann–Department for Hematology, Oncology and Palliative Care, Potsdam, Germany
| | - Sandra Sauer
- Department of Medicine V–Hematology, Oncology and Rheumatology, University Hospital Heidelberg, Heidelberg, Germany
| | - Maike Janssen
- Department of Medicine V–Hematology, Oncology and Rheumatology, University Hospital Heidelberg, Heidelberg, Germany
- *Correspondence: Maike Janssen,
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Johnsrud A, Craig J, Baird J, Spiegel J, Muffly L, Zehnder J, Tamaresis J, Negrin R, Johnston L, Arai S, Shizuru J, Lowsky R, Meyer E, Weng WK, Shiraz P, Rezvani A, Latchford T, Mackall C, Miklos D, Frank M, Sidana S. Incidence and risk factors associated with bleeding and thrombosis following chimeric antigen receptor T-cell therapy. Blood Adv 2021; 5:4465-4475. [PMID: 34521106 PMCID: PMC8579267 DOI: 10.1182/bloodadvances.2021004716] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Accepted: 06/22/2021] [Indexed: 01/16/2023] Open
Abstract
Bleeding and thrombotic events are an emerging toxicity associated with chimeric antigen receptor (CAR) therapies. To determine their incidence, we retrospectively analyzed consecutive adult patients (N = 127) with large B-cell lymphoma (LBCL) or B-cell acute lymphoblastic leukemia (B-ALL) treated from 2017 through 2020 with axicabtagene ciloleucel (axi-cel; n = 89) or a bispecific CD19/CD22 CAR (n = 38). Twelve (9.4%) and 8 (6.3%) patients developed bleeding and thrombosis within the first 3 months, respectively. In the axi-cel subgroup, these occurred in 11.2% and 6.7%, respectively. Bleeding occurred between days 8 and 30 (median, 17.5) and thrombosis between days 2 and 91 (median, 29). Bleeding sites included genitourinary, soft tissue, intracranial, gastrointestinal, and pulmonary and were associated with features of consumptive coagulopathy. On univariate analysis, patients with bleeding were older, had lower baseline platelets (86 × 103/μL vs 178 × 103/μL; P < .01), lower platelet and fibrinogen nadirs , and elevated lactate dehydrogenase. Immune effector cell (IEC)-associated neurotoxicity syndrome (ICANS) grade ≥3 was associated with increased bleeding (50% vs 15%; P = .01), thrombosis (50% vs 16%; P = .04), prothrombin time prolongation, hypofibrinogenemia, and elevated D-dimer. Low pretreatment platelet counts were associated with bleeding in a multivariate logistic regression model. Patients with thrombocytopenia or severe ICANS are at increased risk of bleeding and should be closely monitored, particularly within the first month after CAR therapy. Future studies in larger cohorts should assess risk factors for systemic coagulopathies in CAR T therapy, including their association with neurotoxicity.
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Affiliation(s)
- Andrew Johnsrud
- Division of Blood and Marrow Transplantation and Cellular Therapy; and
| | - Juliana Craig
- Division of Blood and Marrow Transplantation and Cellular Therapy; and
| | - John Baird
- Division of Blood and Marrow Transplantation and Cellular Therapy; and
| | - Jay Spiegel
- Division of Blood and Marrow Transplantation and Cellular Therapy; and
| | - Lori Muffly
- Division of Blood and Marrow Transplantation and Cellular Therapy; and
| | | | - John Tamaresis
- Department of Biomedical Data Science, Stanford University, Stanford, CA
| | - Robert Negrin
- Division of Blood and Marrow Transplantation and Cellular Therapy; and
| | - Laura Johnston
- Division of Blood and Marrow Transplantation and Cellular Therapy; and
| | - Sally Arai
- Division of Blood and Marrow Transplantation and Cellular Therapy; and
| | - Judith Shizuru
- Division of Blood and Marrow Transplantation and Cellular Therapy; and
| | - Robert Lowsky
- Division of Blood and Marrow Transplantation and Cellular Therapy; and
| | - Everett Meyer
- Division of Blood and Marrow Transplantation and Cellular Therapy; and
| | - Wen-Kai Weng
- Division of Blood and Marrow Transplantation and Cellular Therapy; and
| | - Parveen Shiraz
- Division of Blood and Marrow Transplantation and Cellular Therapy; and
| | - Andrew Rezvani
- Division of Blood and Marrow Transplantation and Cellular Therapy; and
| | - Theresa Latchford
- Division of Blood and Marrow Transplantation and Cellular Therapy; and
| | - Crystal Mackall
- Division of Blood and Marrow Transplantation and Cellular Therapy; and
| | - David Miklos
- Division of Blood and Marrow Transplantation and Cellular Therapy; and
| | - Matthew Frank
- Division of Blood and Marrow Transplantation and Cellular Therapy; and
| | - Surbhi Sidana
- Division of Blood and Marrow Transplantation and Cellular Therapy; and
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